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FutureLearn Week 3: Post 2 of 3


Real-life examples of environmental analytics


A real life example of citizen science analysing the environment is that it can contribute to better and more accurate evaluations of human infrastructures in wildlife such as recording roadkill accidents so that it can be made available to emphasise how much roads can impact wildlife.

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FutureLearn Week 2: Post 1 of 4

Open data has been increasing for some time now with data being made open on various sites globally. There are many advantages to having open data, these advantages include being able to share public data sets so that they can be compared. These open data sources can also be used for environmental purposes or even health issues. Disadvantages of open data would include the fact that the site providing the data would be inherently biased and formed in the opinion of the creator.

Post #1: Definition of Big Data

Big Data  is a term that is used to describe a massive volume of both structured and unstructured  data  that is so  large  it is difficult to process using traditional database and software techniques. In most enterprise scenarios the volume of  data  is too  big  or it moves too fast or it exceeds current processing capacity. Big Data  comes from text, audio, video, and images.  Big Data  is analysed by organisations and businesses for reasons like discovering patterns and trends related to human behaviour and our interaction with technology, which can then be used to make decisions that impact how we live,  work , and play. This Big Data can also  be analysed for insights that lead to better decisions and strategic business moves.

FutureLearn Week 3: Post 3 of 3

The power of visualising data The power of visualising data is its ability to reduce complexity but continuing to retain the information. This will allow decision making to be made in a shorter time and can be used as simple representations. The simple representation makes it easier for casual users to perceive the information much more easily.